Quantitative characteristics of spike-wave paroxysms in genetic generalized epilepsy

Ivan C Zibrandtsen, Jonas M Nielsen, Troels W Kjaer

Publikation: Bidrag til tidsskriftArtikelForskningpeer review

Abstract

OBJECTIVE: To characterize generalized spike-wave paroxysms (GSW) in children with generalized genetic epilepsy (GGE).

METHODS: We annotated 15-19 channel scalp EEGs from a retrospective cohort from patients with a variety of GGE syndromes. Connectivity, entropy, frequency, power, spike-amplitudes were compared with a normal baseline activity and analyzed for the effect of age and sex. Cluster analysis was used to group spike-topographies between patients.

RESULTS: In total, 864 GSWs from 100 patients aged 2-18 were analyzed. Age had a significant effect on peak frequency, entropy and connectivity. Female sex was associated with significantly higher probability of positive responsiveness to photic stimulation (OR 4.28, CI [1.65, 11.73], p = 0.0036). Entropy decreases significantly during GSW (D = -0.29, CI [-0.31, -0.27], p ≪ 0.0001) and connectivity significantly increases (D = 0.39, CI [0.36, 0.40], p ≪ 0.0001). Within patient spike-voltage maps exhibit remarkable consistency between spikes. Spike-topographies cluster together to predict age, connectivity and entropy.

CONCLUSIONS: A quantitative characterization is possible and reveals significant relationships between age, sex and spike characteristics and multidimensional EEG features.

SIGNIFICANCE: Quantitative GSW characterization can capture aspects from traditional qualitative GSW analysis while being unaffected by intra- and interrater variation and this may be useful for multidimensional predictors of patient outcomes in GGE in the future.

OriginalsprogEngelsk
Sider (fra-til)1230-1240
Antal sider11
TidsskriftClinical Neurophysiology
Vol/bind131
Udgave nummer6
DOI
StatusUdgivet - jun. 2020

Fingeraftryk

Udforsk hvilke forskningsemner 'Quantitative characteristics of spike-wave paroxysms in genetic generalized epilepsy' indeholder.

Citationsformater